"I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case

arXiv cs.AI Papers

Summary

This paper examines UK healthcare staff awareness of risks when relying on machine translation (mainly Google Translate) for communicating with patients, using medical abbreviations as a case study via interviews with 21 participants and qualitative analysis of clinical corpus examples translated through Google Translate.

arXiv:2610.02496v1 Announce Type: new Abstract: In the UK, public healthcare staff report turning to machine translation (MT) - predominantly Google Translate (GT) - to communicate with patients across language barriers. Though intended to support their duty of care, potentially uninformed reliance on MT in such contexts could have serious consequences for patient safety. Research nonetheless remains limited on staff awareness of the possible risks posed by higher-stakes MT use in general and with patient medical records in particular, most existing literature instead examining its use in interpersonal situations or with patient-oriented documentation. Moreover, medical abbreviations are well-documented as increasing patient risk even monolingually, with outcomes from their misuse and/or misinterpretation ranging from temporary harm to the death of the patient. Abbreviations were therefore selected as a use case for identifying the potential risks posed by their translation with MT. Contextualised French and Spanish data examples drawn from authoritative clinical corpora and translated via GT were presented during semi-structured interviews to 21 healthcare staff participants in diverse roles and specialties. The results were then subject to qualitative analysis and cross-analysis.
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# "I just assumed that it would translate": examining MT risk awareness among healthcare staff with abbreviations as a use case
Source: [https://arxiv.org/abs/2610.02496](https://arxiv.org/abs/2610.02496)
[View PDF](https://arxiv.org/pdf/2610.02496)

> Abstract:In the UK, public healthcare staff report turning to machine translation \(MT\) \- predominantly Google Translate \(GT\) \- to communicate with patients across language barriers\. Though intended to support their duty of care, potentially uninformed reliance on MT in such contexts could have serious consequences for patient safety\. Research nonetheless remains limited on staff awareness of the possible risks posed by higher\-stakes MT use in general and with patient medical records in particular, most existing literature instead examining its use in interpersonal situations or with patient\-oriented documentation\. Moreover, medical abbreviations are well\-documented as increasing patient risk even monolingually, with outcomes from their misuse and/or misinterpretation ranging from temporary harm to the death of the patient\. Abbreviations were therefore selected as a use case for identifying the potential risks posed by their translation with MT\. Contextualised French and Spanish data examples drawn from authoritative clinical corpora and translated via GT were presented during semi\-structured interviews to 21 healthcare staff participants in diverse roles and specialties\. The results were then subject to qualitative analysis and cross\-analysis\.

## Submission history

From: Constantin Orasan \[[view email](https://arxiv.org/show-email/73200ab0/2610.02496)\] **\[v1\]**Thu, 1 Oct 2026 21:18:43 UTC \(478 KB\)

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